# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""A factory-pattern class which returns classification image/label pairs."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from datasets import load_record_file


def get_dataset(name, split_name, dataset_dir, file_pattern=None, reader=None):
    """Given a dataset name and a split_name returns a Dataset.

    Args:
      name: String, the name of the dataset.
      split_name: A train/test split name.
      dataset_dir: The directory where the dataset files are stored.
      file_pattern: The file pattern to use for matching the dataset source files.
      reader: The subclass of tf.ReaderBase. If left as `None`, then the default
        reader defined by each dataset is used.

    Returns:
      A `Dataset` class.

    Raises:
      ValueError: If the dataset `name` is unknown.
    """
    return load_record_file.get_split(name,
                                      split_name,
                                      dataset_dir,
                                      file_pattern,
                                      reader)
